iPhone18,2
Geekbench AI Score
8980
Single Precision Score
16663
Half Precision Score
17279
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | matta |
| Upload Date | November 25 2025 07:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4226
786.0 IPS |
|
|
Image Classification (HP)
|
100% |
7994
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7488
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5921
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9363
151.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10384
168.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19915
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52917
61.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57021
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
4343
344.5 IPS |
|
|
Object Detection (HP)
|
100% |
8101
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11671
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
22971
272.9 IPS |
|
|
Face Detection (Q)
|
100% |
17860
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17674
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35048
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37913
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43141
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93346
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117632
151.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10357
382.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18123
669.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22205
819.9 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4868
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5893
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5929
102.5 IPS |
